With Laminar, teams monitor agents in production,
understand failure modes, and create evals to improve agent performance
Why teams choose LaminarFully Open-Source
Self-host or use our cloud. Transparent, extensible, and community-driven.
Highly scalable
Rust-powered, optimized for performance and scalability, capable of ingesting hundreds of millions of traces per day.
Affordable at scale
Start with a generous free tier, and scale without breaking the bank. No limit on the amount of spans you can ingest.
"Laminar's evals help us maintain high accuracy while moving fast. We now use them for every LLM based feature we build."
Hashim Rehman
CTO, Remo
Integrate in 2 minutes
Simply initialize Laminar at the top of your project and popular LLM frameworks and SDKs will be automatically traced. Use our SDK to add comprehensive tracing to your agent.
Observe & Debug
See traces of long-running agents in real time
Don't wait until the end of your AI agent run to start debugging. Laminar shows spans as they happen in real time.
Automatic error capture
Laminar automatically captures application level exceptions.
Tool calls and structured output tracing
Understand when your agent fails to use tools and to produce structured output.
Track custom metrics with events
You can emit events with custom metadata from your code to track custom metrics of your agent.
See what your browser agent sees
Laminar automatically captures browser window recordings and syncs them with agent traces to help you see what the browser agent sees. Laminar automatically traces Browser Use, Stagehand and Playwright.
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Query & Analyze
Query all data on the platform with SQL
Access to traces, evals, datasets, and events data on the platform with a built-in SQL editor.
Track what matters to you with custom dashboards
Skip the dashboard builder. Just write SQL to create custom dashboards to track custom metrics of your agent.
From query to eval datasets in seconds
Use SQL to query custom data filtered by your own criteria. Batch insert to labeling queues or directly to datasets in seconds.
Access platform data via SQL API
Use the Laminar SQL API to query traces, evals, datasets, and events data from your own applications.
Evaluate & Iterate
Zero boilerplate evaluation SDK
Skip the setup hell. Write your agent function and evaluator, pass in your data, and run. We automatically handle parallelism and retries.
Iterate on prompts without touching your codebase
Open LLM calls in the Playground. Iterate fast - test new prompts, try different models, and validate improvements.
Catch regressions before your users do
See the impact of every change before it goes live. Compare evaluation runs to catch regressions early and validate that your improvements actually work.
Build high-quality eval datasets efficiently
No complex labeling tools or workflows. Just queue your data and start labeling. Perfect for teams getting started with systematic evaluation.